Proteomics

Dataset Information

Optimization of ultra fast nDIA proteomics approach


ABSTRACT: Rapid and comprehensive analysis of complex proteomes across large sample sets is essential to fulfill the potential of systems biology. We present a novel mass spectrometry (MS) method that integrates narrow-window data-independent acquisition (nDIA) with short-gradient micro-flow chromatography, enabling profiling of >240 samples per day. The optimized MS method identifies 6,201 and 7,466 human proteins with 1- and 2-min gradients, respectively.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Yun Xiong  

LAB HEAD: Philip L. Lorenzi

PROVIDER: PXD055919 | Pride | 2026-01-14

REPOSITORIES: Pride

Dataset's files

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Action DRS
050424_Hela200ng_AGC100_1.raw Raw
050424_Hela200ng_AGC100_2.raw Raw
050424_Hela200ng_AGC100_3.raw Raw
050424_Hela200ng_AGC200_1.raw Raw
050424_Hela200ng_AGC200_2.raw Raw
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